Senior Data Engineer

Job description

We are looking for a **Senior Data Engineer** to join us. In this role, you will design, build, and optimize data pipelines and infrastructure to ensure that high-quality, reliable data powers our products, analytics, and decision-making. You will work closely with data scientists, analysts, and software engineers to enable scalable data-driven solutions that support Klivvr’s mission of delivering innovative fintech experiences. ### What you'll do: - Design, develop, and maintain scalable ETL/ELT pipelines and data workflows. - Build and optimize data warehouses, data lakes, and real-time streaming systems. - Partner with product, engineering, and analytics teams to understand data needs and deliver reliable solutions. - Ensure data integrity, governance, security, and compliance across systems. - Monitor, troubleshoot, and optimize data infrastructure for performance and cost efficiency. - Mentor junior engineers and contribute to best practices and standards across the data team. - Stay current with industry trends, tools, and emerging technologies in big data and cloud computing. ### To succeed in this role, you'll need to have: - 4+ years of experience in data engineering or similar roles. - Strong proficiency in SQL and at least one programming language (Python, Scala, or Java). - Experience with data pipeline creation, orchestration & data processing frameworks (AirByte, AirFlow, DBT/DataForm, Apache Spark, etc.) - Hands-on expertise with cloud platforms. - Experience with big data technologies. - Knowledge of data modeling, warehousing (BigQuery) and database design. - Strong understanding of data governance, security, and compliance. - Excellent problem-solving, communication, and collaboration skills. - Experience in the fintech is a plus. - Familiarity with **machine learning pipelines** and MLOps is a plus. - Contribution to open-source data engineering projects. - Familiarity with code version control and deployment & monitoring strategies